HIGHLIGHTS
- who: Sebastian Nowak from the Department of Diagnostic and Interventional, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus, Bonn, Germany have published the paper: Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema, in the Journal: (JOURNAL)
- what: It was the aim of this study to develop a DL pipeline that allows to automatically extract precise normalized information of tissue volume, distribution, and symmetry from available MRI of the legs of patients with lipedema or lymphedema for standardized quantification of subcutaneous tissue (SCT . . .
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